Multilevel optimization strategies based on metamodel-assisted evolutionary algorithms, for computationally expensive problems

@article{Kampolis2007MultilevelOS,
  title={Multilevel optimization strategies based on metamodel-assisted evolutionary algorithms, for computationally expensive problems},
  author={Ioannis C. Kampolis and A. S. Zymaris and V. G. Asouti and Kyriakos C. Giannakoglou},
  journal={2007 IEEE Congress on Evolutionary Computation},
  year={2007},
  pages={4116-4123}
}
In this paper, three multilevel optimization strategies are presented and applied to the design of isolated and cascade airfoils. They are all based on the same general-purpose search platform, which employs hierarchical, distributed metamodel-assisted evolutionary algorithms (HDMAEAs). The core search engine is an evolutionary algorithm (EA) assisted by local metamodels (radial basis function networks) which, for each population member, are trained anew on a "suitable" subset of the already… CONTINUE READING

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